Overview

Dataset statistics

Number of variables20
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory161.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:53:53.700862
Analysis finished2020-08-25 00:54:48.401275
Duration54.7 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.8312206179492703e-09
Minimum-1.7426095008850098
Maximum1.5080260038375854
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:48.449358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.742609501
5-th percentile-1.586985862
Q1-0.8391480893
median-0.03445091192
Q30.9693154693
95-th percentile1.432712066
Maximum1.508026004
Range3.250635505
Interquartile range (IQR)1.808463559

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-353204549.6
Kurtosis-1.243120892
Mean-2.831220618e-09
Median Absolute Deviation (MAD)0.9490736127
Skewness-0.1250521977
Sum-2.831220618e-07
Variance1.000000006
2020-08-25T00:54:48.558476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.0969539210211.0%
 
0.208518475311.0%
 
-1.14614939711.0%
 
0.5194543611.0%
 
1.46326410811.0%
 
-1.66127002211.0%
 
-1.27357912111.0%
 
1.14126241211.0%
 
-0.291787117711.0%
 
-0.0405783280711.0%
 
1.14372396511.0%
 
1.32097566111.0%
 
0.865567207311.0%
 
1.31199145311.0%
 
-0.196372717611.0%
 
-0.664153099111.0%
 
-1.21844601611.0%
 
-1.44110453111.0%
 
1.49677634211.0%
 
-1.47300338711.0%
 
-0.0283234957611.0%
 
-1.33760833711.0%
 
1.01730084411.0%
 
1.50802600411.0%
 
-1.23301196111.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.74260950111.0%
 
-1.6859320411.0%
 
-1.68220603511.0%
 
-1.66127002211.0%
 
-1.63457369811.0%
 
-1.58448123911.0%
 
-1.51408755811.0%
 
-1.47300338711.0%
 
-1.47150242311.0%
 
-1.44110453111.0%
 
ValueCountFrequency (%) 
1.50802600411.0%
 
1.50280225311.0%
 
1.49677634211.0%
 
1.49534785711.0%
 
1.46326410811.0%
 
1.43110406411.0%
 
1.32097566111.0%
 
1.31938314411.0%
 
1.31199145311.0%
 
1.30900704911.0%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.9336661988565994e-10
Minimum-1.6973330974578855
Maximum1.7908567190170288
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:48.679106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.697333097
5-th percentile-1.369833058
Q1-0.8591645807
median-0.07214183733
Q30.8955982029
95-th percentile1.580660927
Maximum1.790856719
Range3.488189816
Interquartile range (IQR)1.754762784

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-3408704106
Kurtosis-1.236983444
Mean-2.933666199e-10
Median Absolute Deviation (MAD)0.9089882076
Skewness0.0942148296
Sum-2.933666199e-08
Variance1.000000003
2020-08-25T00:54:48.786420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.114044770611.0%
 
-0.700782775911.0%
 
-0.74348360311.0%
 
0.316325783711.0%
 
-1.36101055111.0%
 
1.3585126411.0%
 
0.485151648511.0%
 
-1.29363644111.0%
 
-0.916375458211.0%
 
0.455002844311.0%
 
1.54755413511.0%
 
0.250301063111.0%
 
-1.47383749511.0%
 
1.58048927811.0%
 
1.32903444811.0%
 
-1.25510883311.0%
 
-0.554354846511.0%
 
1.61203253311.0%
 
-0.0273243114411.0%
 
-0.979605138311.0%
 
0.677847862211.0%
 
0.979919910411.0%
 
-0.453659355611.0%
 
-1.20091974711.0%
 
0.003939258411.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.69733309711.0%
 
-1.68177056311.0%
 
-1.67972779311.0%
 
-1.65894818311.0%
 
-1.47383749511.0%
 
-1.3643591411.0%
 
-1.36101055111.0%
 
-1.33601713211.0%
 
-1.29363644111.0%
 
-1.2918546211.0%
 
ValueCountFrequency (%) 
1.79085671911.0%
 
1.66109442711.0%
 
1.61460995711.0%
 
1.61203253311.0%
 
1.58392226711.0%
 
1.58048927811.0%
 
1.54755413511.0%
 
1.50974011411.0%
 
1.49256598911.0%
 
1.45147645511.0%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.8486905473700264e-09
Minimum-1.6319650411605835
Maximum1.7339614629745483
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:48.904716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.631965041
5-th percentile-1.471325964
Q1-0.905620873
median0.01393806876
Q30.9711081535
95-th percentile1.502363509
Maximum1.733961463
Range3.365926504
Interquartile range (IQR)1.876729026

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-259828632.5
Kurtosis-1.271587041
Mean-3.848690547e-09
Median Absolute Deviation (MAD)0.9434624308
Skewness0.1174337499
Sum-3.848690547e-07
Variance1.000000003
2020-08-25T00:54:49.011293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.462644308811.0%
 
-0.00133578223211.0%
 
-0.525697529311.0%
 
0.716615676911.0%
 
-1.63196504111.0%
 
1.35414278511.0%
 
0.816477596811.0%
 
0.67512136711.0%
 
-0.585766851911.0%
 
-0.504958987211.0%
 
-1.24185347611.0%
 
0.692707121411.0%
 
0.739551961411.0%
 
0.328356534211.0%
 
-1.29523575311.0%
 
0.327560156611.0%
 
-1.09100365611.0%
 
1.28951609111.0%
 
-0.324781268811.0%
 
1.63447880711.0%
 
-1.0021574511.0%
 
-1.02657568511.0%
 
0.270515203511.0%
 
1.42648637311.0%
 
1.14294397811.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.63196504111.0%
 
-1.58522105211.0%
 
-1.54050803211.0%
 
-1.52871084211.0%
 
-1.52783882611.0%
 
-1.46835160311.0%
 
-1.46387028711.0%
 
-1.44879722611.0%
 
-1.29523575311.0%
 
-1.2678637511.0%
 
ValueCountFrequency (%) 
1.73396146311.0%
 
1.7238744511.0%
 
1.63889336611.0%
 
1.63447880711.0%
 
1.58449053811.0%
 
1.49804103411.0%
 
1.47514569811.0%
 
1.46565973811.0%
 
1.45768475511.0%
 
1.42648637311.0%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7229467186297142e-10
Minimum-1.9563839435577397
Maximum1.780012845993042
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:49.125443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.956383944
5-th percentile-1.661542749
Q1-0.7354176641
median0.09188366681
Q30.6748294532
95-th percentile1.576344573
Maximum1.780012846
Range3.73639679
Interquartile range (IQR)1.410247117

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)5804010027
Kurtosis-0.8256222045
Mean1.722946719e-10
Median Absolute Deviation (MAD)0.7326333597
Skewness-0.08022167904
Sum1.722946719e-08
Variance1.000000006
2020-08-25T00:54:49.231349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.515865325911.0%
 
-0.453371733411.0%
 
0.181652486311.0%
 
-0.919998705411.0%
 
-1.95638394411.0%
 
-0.94637054211.0%
 
0.228291988411.0%
 
-1.22576177111.0%
 
-1.91437125211.0%
 
1.55342686211.0%
 
0.602880179911.0%
 
0.475379943811.0%
 
-0.646341860311.0%
 
0.14929096411.0%
 
-0.420358955911.0%
 
0.317922979611.0%
 
-1.03831005111.0%
 
-1.70334923311.0%
 
1.78001284611.0%
 
0.0177053976811.0%
 
-1.04857134811.0%
 
0.846064269511.0%
 
1.49437773211.0%
 
0.171172559311.0%
 
0.59675484911.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.95638394411.0%
 
-1.92133128611.0%
 
-1.91437125211.0%
 
-1.89044368311.0%
 
-1.70334923311.0%
 
-1.65934240811.0%
 
-1.64229202311.0%
 
-1.56622457511.0%
 
-1.54262006311.0%
 
-1.48853170911.0%
 
ValueCountFrequency (%) 
1.78001284611.0%
 
1.7447292811.0%
 
1.74299955411.0%
 
1.72519218911.0%
 
1.64502251111.0%
 
1.57272994511.0%
 
1.55342686211.0%
 
1.49437773211.0%
 
1.48999977111.0%
 
1.44316804411.0%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.823109604565559e-10
Minimum-1.6431965827941897
Maximum1.5826319456100464
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:49.355512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.643196583
5-th percentile-1.579471272
Q1-0.899192214
median-0.0810389705
Q30.9494761527
95-th percentile1.441500831
Maximum1.582631946
Range3.225828528
Interquartile range (IQR)1.848668367

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)1278264081
Kurtosis-1.302809384
Mean7.823109605e-10
Median Absolute Deviation (MAD)0.9283862524
Skewness-0.08156961057
Sum7.823109605e-08
Variance1.000000001
2020-08-25T00:54:49.462081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.62628364611.0%
 
1.51104283311.0%
 
0.802311539611.0%
 
-1.64319658311.0%
 
-1.52614772311.0%
 
-0.780108153811.0%
 
-0.367820739711.0%
 
0.218112587911.0%
 
-0.135397553411.0%
 
0.380782067811.0%
 
1.1574078811.0%
 
-0.26823484911.0%
 
1.21814298611.0%
 
-1.07078945611.0%
 
-0.599709212811.0%
 
-0.533060908311.0%
 
-0.891217529811.0%
 
-0.274101823611.0%
 
-1.00222313411.0%
 
-1.32834613311.0%
 
1.01145529711.0%
 
-1.15208065511.0%
 
-1.08421254211.0%
 
-0.523600459111.0%
 
-0.202803835311.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.64319658311.0%
 
-1.62628364611.0%
 
-1.62310528811.0%
 
-1.61559450611.0%
 
-1.60282623811.0%
 
-1.57824206411.0%
 
-1.55116021611.0%
 
-1.53626048611.0%
 
-1.52614772311.0%
 
-1.51604676211.0%
 
ValueCountFrequency (%) 
1.58263194611.0%
 
1.56946289511.0%
 
1.56116151811.0%
 
1.51104283311.0%
 
1.45585489311.0%
 
1.44074535411.0%
 
1.34480404911.0%
 
1.33081185811.0%
 
1.32222914711.0%
 
1.28911793211.0%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.611188060746116e-09
Minimum-1.6673119068145752
Maximum1.773254156112671
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:49.581117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.667311907
5-th percentile-1.467634624
Q1-0.9155891091
median-0.1041821353
Q30.7181606144
95-th percentile1.612885821
Maximum1.773254156
Range3.440566063
Interquartile range (IQR)1.633749723

Descriptive statistics

Standard deviation0.9999999931
Coefficient of variation (CV)-620660007
Kurtosis-1.083031199
Mean-1.611188061e-09
Median Absolute Deviation (MAD)0.8179856353
Skewness0.1089057228
Sum-1.611188061e-07
Variance0.9999999862
2020-08-25T00:54:49.688259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.63281166611.0%
 
0.878267049811.0%
 
0.722378075111.0%
 
-0.118368029611.0%
 
1.69367945211.0%
 
-1.04899346811.0%
 
0.365287423111.0%
 
1.37370836711.0%
 
-0.567112028611.0%
 
0.148337423811.0%
 
-1.60857415211.0%
 
-0.171062484411.0%
 
-0.569430112811.0%
 
0.710446059711.0%
 
-0.0902286395411.0%
 
0.302049905111.0%
 
-0.534769594711.0%
 
-1.23172080511.0%
 
1.39132571211.0%
 
0.604689896111.0%
 
-0.188565045611.0%
 
1.35466480311.0%
 
0.0140101788611.0%
 
-1.46751499211.0%
 
0.347572922711.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.66731190711.0%
 
-1.65093028511.0%
 
-1.63281166611.0%
 
-1.60857415211.0%
 
-1.46990764111.0%
 
-1.46751499211.0%
 
-1.4642150411.0%
 
-1.4512027511.0%
 
-1.39397525811.0%
 
-1.35442376111.0%
 
ValueCountFrequency (%) 
1.77325415611.0%
 
1.76802492111.0%
 
1.74101054711.0%
 
1.69367945211.0%
 
1.64104151711.0%
 
1.61140394211.0%
 
1.58929765211.0%
 
1.56432914711.0%
 
1.56203174611.0%
 
1.50590884711.0%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.774199962615967e-10
Minimum-1.6655869483947754
Maximum1.6817460060119631
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:49.811479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.665586948
5-th percentile-1.601657045
Q1-0.9414557517
median0.1671606004
Q30.7595438659
95-th percentile1.508067667
Maximum1.681746006
Range3.347332954
Interquartile range (IQR)1.700999618

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1731841656
Kurtosis-1.220910635
Mean5.774199963e-10
Median Absolute Deviation (MAD)0.8440854847
Skewness-0.0511119134
Sum5.774199963e-08
Variance1.000000005
2020-08-25T00:54:49.919644image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.513426899911.0%
 
-0.396532535611.0%
 
-1.61975669911.0%
 
1.12011563811.0%
 
1.64271485811.0%
 
-0.9314378511.0%
 
-0.971509456611.0%
 
-0.295205235511.0%
 
0.0253550428911.0%
 
1.45919430311.0%
 
0.492474734811.0%
 
0.571340382111.0%
 
0.473805218911.0%
 
0.335814893211.0%
 
0.272756844811.0%
 
0.450858682411.0%
 
-0.189968332611.0%
 
-1.15402507811.0%
 
-0.0180927962111.0%
 
-1.64280378811.0%
 
-1.42555141411.0%
 
-0.285917043711.0%
 
0.692988336111.0%
 
-1.12768495111.0%
 
1.66955816711.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.66558694811.0%
 
-1.64280378811.0%
 
-1.63519382511.0%
 
-1.61975669911.0%
 
-1.61459934711.0%
 
-1.60097587111.0%
 
-1.57704508311.0%
 
-1.46086621311.0%
 
-1.42555141411.0%
 
-1.3398498311.0%
 
ValueCountFrequency (%) 
1.68174600611.0%
 
1.66955816711.0%
 
1.64271485811.0%
 
1.58146417111.0%
 
1.55070018811.0%
 
1.50582385111.0%
 
1.47832274411.0%
 
1.45919430311.0%
 
1.42766809511.0%
 
1.40726172911.0%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.2538006416716884e-09
Minimum-1.7644619941711426
Maximum1.6716773509979248
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:50.038695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.764461994
5-th percentile-1.528850281
Q1-0.7491562217
median-0.04933819361
Q30.9614296407
95-th percentile1.45970695
Maximum1.671677351
Range3.436139345
Interquartile range (IQR)1.710585862

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-443694966.8
Kurtosis-1.169079012
Mean-2.253800642e-09
Median Absolute Deviation (MAD)0.808352083
Skewness-0.01847665987
Sum-2.253800642e-07
Variance1.000000002
2020-08-25T00:54:50.143491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.08886563811.0%
 
-0.237754359811.0%
 
0.206579148811.0%
 
0.893375277511.0%
 
1.39661550511.0%
 
-1.29505574711.0%
 
-0.70978462711.0%
 
1.17934274711.0%
 
-1.32730102511.0%
 
0.91129088411.0%
 
-0.395917028211.0%
 
1.51873314411.0%
 
-0.302291810511.0%
 
0.256590604811.0%
 
0.734955191611.0%
 
0.388963609911.0%
 
-0.410917460911.0%
 
-1.67705488211.0%
 
-0.610449433311.0%
 
-0.247159957911.0%
 
1.22685182111.0%
 
-0.788920462111.0%
 
-0.632675170911.0%
 
-0.615081608311.0%
 
-0.0599251687511.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.76446199411.0%
 
-1.69338262111.0%
 
-1.68607711811.0%
 
-1.67705488211.0%
 
-1.55211770511.0%
 
-1.5276256811.0%
 
-1.52373230511.0%
 
-1.48248755911.0%
 
-1.43415284211.0%
 
-1.39068126711.0%
 
ValueCountFrequency (%) 
1.67167735111.0%
 
1.65800428411.0%
 
1.65074396111.0%
 
1.63781797911.0%
 
1.51873314411.0%
 
1.45660030811.0%
 
1.43544900411.0%
 
1.42535984511.0%
 
1.40356755311.0%
 
1.39685964611.0%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4226104661527758e-09
Minimum-1.8337990045547483
Maximum1.8788003921508791
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:50.259031image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.833799005
5-th percentile-1.665146774
Q1-0.6974013299
median-0.1366763636
Q30.8438039869
95-th percentile1.555816036
Maximum1.878800392
Range3.712599397
Interquartile range (IQR)1.541205317

Descriptive statistics

Standard deviation0.9999999946
Coefficient of variation (CV)292174644
Kurtosis-1.006069902
Mean3.422610466e-09
Median Absolute Deviation (MAD)0.846209079
Skewness0.01580126449
Sum3.422610466e-07
Variance0.9999999892
2020-08-25T00:54:50.372089image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.530273258711.0%
 
-0.0987736433711.0%
 
-0.755686819611.0%
 
0.708698451511.0%
 
-0.983719706511.0%
 
0.0187783688311.0%
 
-0.365152478211.0%
 
0.598958134711.0%
 
0.841148793711.0%
 
-0.630461037211.0%
 
-0.445699036111.0%
 
-1.83379900511.0%
 
-0.145287275311.0%
 
-1.05663633311.0%
 
0.821142673511.0%
 
1.02422833411.0%
 
-0.4885767411.0%
 
-0.155971154611.0%
 
-1.81613159211.0%
 
0.803576707811.0%
 
0.913441717611.0%
 
-0.332820743311.0%
 
-1.36742341511.0%
 
-0.708372592911.0%
 
0.160844996611.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.83379900511.0%
 
-1.81613159211.0%
 
-1.798732411.0%
 
-1.73544752611.0%
 
-1.66647076611.0%
 
-1.6650770911.0%
 
-1.63352155711.0%
 
-1.3828185811.0%
 
-1.36742341511.0%
 
-1.36327612411.0%
 
ValueCountFrequency (%) 
1.87880039211.0%
 
1.86541736111.0%
 
1.82142579611.0%
 
1.58468794811.0%
 
1.5583479411.0%
 
1.55568277811.0%
 
1.49316835411.0%
 
1.45731365711.0%
 
1.39486932811.0%
 
1.3763583911.0%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.494803190231323e-10
Minimum-1.79370379447937
Maximum1.7830247879028318
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:50.498423image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.793703794
5-th percentile-1.665135759
Q1-0.7444977015
median0.06225994229
Q30.8323140591
95-th percentile1.465525985
Maximum1.783024788
Range3.576728582
Interquartile range (IQR)1.576811761

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-1819901399
Kurtosis-1.049452507
Mean-5.49480319e-10
Median Absolute Deviation (MAD)0.7824814022
Skewness-0.1293294692
Sum-5.49480319e-08
Variance1.000000003
2020-08-25T00:54:50.605042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.11278951211.0%
 
0.83479291211.0%
 
0.512522637811.0%
 
-0.18739582611.0%
 
0.831487774811.0%
 
-1.4259350311.0%
 
1.43960905111.0%
 
-0.997364044211.0%
 
-0.63749080911.0%
 
1.46159970811.0%
 
1.78302478811.0%
 
-1.06219422811.0%
 
-1.28827202311.0%
 
1.36425292511.0%
 
-1.68818235411.0%
 
1.15849828711.0%
 
-0.951264858211.0%
 
0.660845458511.0%
 
0.647318959211.0%
 
1.1486228711.0%
 
-0.270326644211.0%
 
0.732778549211.0%
 
-0.525753736511.0%
 
1.16554701311.0%
 
0.126114934711.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.79370379411.0%
 
-1.7200691711.0%
 
-1.69080555411.0%
 
-1.68818235411.0%
 
-1.67703175511.0%
 
-1.66450965411.0%
 
-1.65247094611.0%
 
-1.59327650111.0%
 
-1.58739399911.0%
 
-1.50297498711.0%
 
ValueCountFrequency (%) 
1.78302478811.0%
 
1.7231583611.0%
 
1.60918343111.0%
 
1.57497823211.0%
 
1.54012525111.0%
 
1.46159970811.0%
 
1.45632362411.0%
 
1.43960905111.0%
 
1.39588487111.0%
 
1.36425292511.0%
 

oz3
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6507844969335677e-09
Minimum-1.7717586755752563
Maximum1.6747978925704956
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:50.721510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.771758676
5-th percentile-1.612327158
Q1-0.8092692047
median-0.04791808501
Q30.7768298686
95-th percentile1.611567628
Maximum1.674797893
Range3.446556568
Interquartile range (IQR)1.586099073

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)273913730.2
Kurtosis-1.052934328
Mean3.650784497e-09
Median Absolute Deviation (MAD)0.7958491445
Skewness0.1138848033
Sum3.650784497e-07
Variance0.9999999998
2020-08-25T00:54:51.000297image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.618284225511.0%
 
1.15838158111.0%
 
0.0146531090111.0%
 
-1.49167442311.0%
 
-0.00681734830111.0%
 
1.32923865311.0%
 
-0.345128059411.0%
 
1.39955985511.0%
 
-0.966628789911.0%
 
-0.857375264211.0%
 
-0.107981391311.0%
 
1.5557744511.0%
 
0.495162516811.0%
 
1.67479789311.0%
 
-0.152000427211.0%
 
-1.77175867611.0%
 
-0.443434387411.0%
 
-0.66635453711.0%
 
-0.341356277511.0%
 
0.366503298311.0%
 
-1.73406481711.0%
 
1.09834253811.0%
 
-0.960060834911.0%
 
-0.941263794911.0%
 
1.32286131411.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.77175867611.0%
 
-1.73406481711.0%
 
-1.66896557811.0%
 
-1.64937794211.0%
 
-1.62791585911.0%
 
-1.61150670111.0%
 
-1.54482114311.0%
 
-1.49505281411.0%
 
-1.49167442311.0%
 
-1.30129206211.0%
 
ValueCountFrequency (%) 
1.67479789311.0%
 
1.66058969511.0%
 
1.65904438511.0%
 
1.64990735111.0%
 
1.63075220611.0%
 
1.61055791411.0%
 
1.60656952911.0%
 
1.59058558911.0%
 
1.5557744511.0%
 
1.53830969311.0%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7136335261902501e-09
Minimum-1.8277739286422732
Maximum1.6202362775802612
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:51.114044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.827773929
5-th percentile-1.493555486
Q1-0.7964298576
median0.08262015134
Q30.9192696065
95-th percentile1.434428704
Maximum1.620236278
Range3.448010206
Interquartile range (IQR)1.715699464

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)-583555342.4
Kurtosis-1.235563434
Mean-1.713633526e-09
Median Absolute Deviation (MAD)0.8567167222
Skewness-0.1660730458
Sum-1.713633526e-07
Variance0.9999999982
2020-08-25T00:54:51.228367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.00243997611.0%
 
0.334153771411.0%
 
0.746047854411.0%
 
-1.43082010711.0%
 
0.416665703111.0%
 
0.942305147611.0%
 
0.838461697111.0%
 
0.235311955211.0%
 
0.262984186411.0%
 
0.28630039111.0%
 
-1.45782434911.0%
 
0.915176212811.0%
 
-1.01483988811.0%
 
1.06151354311.0%
 
1.15068483411.0%
 
1.05355358111.0%
 
-1.3200305711.0%
 
0.283378452111.0%
 
0.227997139111.0%
 
1.54074764311.0%
 
1.45823383311.0%
 
0.467929154611.0%
 
1.47239959211.0%
 
-0.339413821711.0%
 
-1.34458482311.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.82777392911.0%
 
-1.79009652111.0%
 
-1.72162079811.0%
 
-1.66540300811.0%
 
-1.62293660611.0%
 
-1.48674595411.0%
 
-1.47403538211.0%
 
-1.46290969811.0%
 
-1.45782434911.0%
 
-1.45028221611.0%
 
ValueCountFrequency (%) 
1.62023627811.0%
 
1.54074764311.0%
 
1.54016733211.0%
 
1.47239959211.0%
 
1.45823383311.0%
 
1.43317580211.0%
 
1.41840696311.0%
 
1.38469040411.0%
 
1.36519193611.0%
 
1.2749768511.0%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.999455995857716e-09
Minimum-1.6845470666885376
Maximum1.7087845802307131
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:51.351439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.684547067
5-th percentile-1.550207758
Q1-0.8625586778
median-0.06686018407
Q30.8912792504
95-th percentile1.558906859
Maximum1.70878458
Range3.393331647
Interquartile range (IQR)1.753837928

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)200021762.4
Kurtosis-1.16581178
Mean4.999455996e-09
Median Absolute Deviation (MAD)0.8784737438
Skewness0.06382408116
Sum4.999455996e-07
Variance0.9999999991
2020-08-25T00:54:51.459473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.714841067811.0%
 
-0.860683023911.0%
 
-1.14415705211.0%
 
1.11193215811.0%
 
-1.5507631311.0%
 
0.521301925211.0%
 
0.861880898511.0%
 
0.896794319211.0%
 
0.231489464611.0%
 
-0.0869233161211.0%
 
0.0534714758411.0%
 
1.24966752511.0%
 
0.391783922911.0%
 
1.06345999211.0%
 
1.09638011511.0%
 
1.48466920911.0%
 
1.69013845911.0%
 
-1.45545768711.0%
 
-0.0453401841211.0%
 
0.563335299511.0%
 
-1.18647706511.0%
 
-0.801618874111.0%
 
-1.46605384311.0%
 
0.945432066911.0%
 
-0.203382149311.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.68454706711.0%
 
-1.65912103711.0%
 
-1.57569134211.0%
 
-1.55505526111.0%
 
-1.5507631311.0%
 
-1.55017852811.0%
 
-1.46978104111.0%
 
-1.46605384311.0%
 
-1.45545768711.0%
 
-1.39657139811.0%
 
ValueCountFrequency (%) 
1.7087845811.0%
 
1.69013845911.0%
 
1.65993523611.0%
 
1.64854216611.0%
 
1.60589504211.0%
 
1.55643379711.0%
 
1.54290151611.0%
 
1.50739324111.0%
 
1.49002814311.0%
 
1.48466920911.0%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.774199862695895e-10
Minimum-1.740947961807251
Maximum1.6226650476455688
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:51.579086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.740947962
5-th percentile-1.53464362
Q1-0.8198492527
median0.01924770791
Q30.8504884094
95-th percentile1.491032678
Maximum1.622665048
Range3.363613009
Interquartile range (IQR)1.670337662

Descriptive statistics

Standard deviation0.9999999964
Coefficient of variation (CV)-1731841675
Kurtosis-1.264380978
Mean-5.774199863e-10
Median Absolute Deviation (MAD)0.8481216403
Skewness-0.08713065147
Sum-5.774199863e-08
Variance0.9999999928
2020-08-25T00:54:51.686459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.846923291711.0%
 
0.537688016911.0%
 
0.0712979286911.0%
 
-0.388708412611.0%
 
0.896331965911.0%
 
0.0781040117111.0%
 
-1.0120594511.0%
 
1.3128271111.0%
 
1.49690723411.0%
 
1.05952882811.0%
 
-1.25017142311.0%
 
0.744229495511.0%
 
-1.43670582811.0%
 
-0.186461657311.0%
 
-0.81082457311.0%
 
-1.04071509811.0%
 
-1.42792415611.0%
 
-1.30808818311.0%
 
-0.0294570904211.0%
 
-0.807231783911.0%
 
0.621929764711.0%
 
0.966413319111.0%
 
-1.09103035911.0%
 
-1.54171657611.0%
 
-1.25795304811.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.74094796211.0%
 
-1.68755316711.0%
 
-1.65210974211.0%
 
-1.60010325911.0%
 
-1.54171657611.0%
 
-1.53427135911.0%
 
-1.49380862711.0%
 
-1.46129941911.0%
 
-1.43670582811.0%
 
-1.43205153911.0%
 
ValueCountFrequency (%) 
1.62266504811.0%
 
1.60609424111.0%
 
1.60571932811.0%
 
1.53159320411.0%
 
1.49690723411.0%
 
1.49072349111.0%
 
1.48476815211.0%
 
1.4343204511.0%
 
1.34567737611.0%
 
1.34126710911.0%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.30385160446167e-10
Minimum-1.7716158628463743
Maximum1.6643944978713991
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:51.805504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.771615863
5-th percentile-1.49736796
Q1-0.8249185383
median0.008141302504
Q30.8374590874
95-th percentile1.562270826
Maximum1.664394498
Range3.436010361
Interquartile range (IQR)1.662377626

Descriptive statistics

Standard deviation0.9999999994
Coefficient of variation (CV)7669584453
Kurtosis-1.141908457
Mean1.303851604e-10
Median Absolute Deviation (MAD)0.8374452228
Skewness0.01838777685
Sum1.303851604e-08
Variance0.9999999989
2020-08-25T00:54:51.913163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.12695181411.0%
 
0.129597723511.0%
 
1.41074323711.0%
 
0.809132218411.0%
 
-0.774473071111.0%
 
0.50347763311.0%
 
0.744205355611.0%
 
1.30384314111.0%
 
-0.452447801811.0%
 
-0.534251272711.0%
 
1.64622378311.0%
 
0.240741565811.0%
 
-1.61442041411.0%
 
-0.654294133211.0%
 
1.56168949611.0%
 
0.122752502611.0%
 
-0.911532759711.0%
 
-1.49725425211.0%
 
0.345157474311.0%
 
-0.224476128811.0%
 
0.208520069711.0%
 
-1.48450815711.0%
 
1.5270543111.0%
 
-1.26729965211.0%
 
-0.413719624311.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.77161586311.0%
 
-1.65967023411.0%
 
-1.61442041411.0%
 
-1.54598343411.0%
 
-1.49952840811.0%
 
-1.49725425211.0%
 
-1.49342298511.0%
 
-1.48505282411.0%
 
-1.48450815711.0%
 
-1.43976497711.0%
 
ValueCountFrequency (%) 
1.66439449811.0%
 
1.64650547511.0%
 
1.64622378311.0%
 
1.62597143711.0%
 
1.57331609711.0%
 
1.56168949611.0%
 
1.5270543111.0%
 
1.52639162511.0%
 
1.49143803111.0%
 
1.42900145111.0%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1175870895385742e-09
Minimum-1.9081006050109863
Maximum1.5346291065216064
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:52.025630image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.908100605
5-th percentile-1.671699059
Q1-0.9411561638
median0.153356716
Q30.734720096
95-th percentile1.391730744
Maximum1.534629107
Range3.442729712
Interquartile range (IQR)1.67587626

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)894784854.2
Kurtosis-1.06423218
Mean1.11758709e-09
Median Absolute Deviation (MAD)0.8351259083
Skewness-0.3261777416
Sum1.11758709e-07
Variance1.000000002
2020-08-25T00:54:52.133285image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.546874880811.0%
 
0.645359337311.0%
 
0.83966720111.0%
 
1.2330528511.0%
 
-1.17740023111.0%
 
-1.21353733511.0%
 
0.7559234511.0%
 
-1.17058134111.0%
 
0.452561825511.0%
 
0.17879438411.0%
 
0.488356709511.0%
 
-0.96640384211.0%
 
0.497973740111.0%
 
-0.294554710411.0%
 
0.145776644311.0%
 
0.0954718962311.0%
 
-1.0317550911.0%
 
1.08078634711.0%
 
-1.10862314711.0%
 
0.727652311311.0%
 
-1.13694381711.0%
 
-0.072035878911.0%
 
-1.17894673311.0%
 
-1.73803114911.0%
 
0.649968147311.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.90810060511.0%
 
-1.88844525811.0%
 
-1.77717101611.0%
 
-1.73803114911.0%
 
-1.71690595111.0%
 
-1.66931974911.0%
 
-1.66635620611.0%
 
-1.66407012911.0%
 
-1.58820664911.0%
 
-1.52387797811.0%
 
ValueCountFrequency (%) 
1.53462910711.0%
 
1.52224302311.0%
 
1.45243859311.0%
 
1.43001127211.0%
 
1.40473091611.0%
 
1.39104652411.0%
 
1.31911158611.0%
 
1.31578600411.0%
 
1.29139947911.0%
 
1.28846168511.0%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.434236764907837e-09
Minimum-1.7895354032516482
Maximum1.6590944528579712
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:52.255715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.789535403
5-th percentile-1.639273143
Q1-0.7772675753
median-0.005495439284
Q30.8522580117
95-th percentile1.51802299
Maximum1.659094453
Range3.448629856
Interquartile range (IQR)1.629525587

Descriptive statistics

Standard deviation0.9999999941
Coefficient of variation (CV)697234946.5
Kurtosis-1.159991512
Mean1.434236765e-09
Median Absolute Deviation (MAD)0.8204580247
Skewness-0.07519388638
Sum1.434236765e-07
Variance0.9999999882
2020-08-25T00:54:52.361432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.16650295311.0%
 
-0.378474503811.0%
 
-0.727954089611.0%
 
-1.26187002711.0%
 
0.445906400711.0%
 
-1.35711848711.0%
 
1.2545846711.0%
 
-1.02758383811.0%
 
-0.352833032611.0%
 
-0.231898486611.0%
 
1.59494221211.0%
 
-1.09255170811.0%
 
1.2214275611.0%
 
-0.669920146511.0%
 
-0.335387140511.0%
 
1.07397675511.0%
 
-0.838261008311.0%
 
0.844121038911.0%
 
0.502574384211.0%
 
0.993029117611.0%
 
-0.653456389911.0%
 
0.616836130611.0%
 
-0.478462278811.0%
 
-0.910544037811.0%
 
1.40238809611.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.78953540311.0%
 
-1.78382360911.0%
 
-1.75601112811.0%
 
-1.7451560511.0%
 
-1.66005384911.0%
 
-1.63817942111.0%
 
-1.58434355311.0%
 
-1.54234540511.0%
 
-1.42230260411.0%
 
-1.39896440511.0%
 
ValueCountFrequency (%) 
1.65909445311.0%
 
1.64895451111.0%
 
1.59494221211.0%
 
1.57418584811.0%
 
1.52633047111.0%
 
1.51758575411.0%
 
1.41916096211.0%
 
1.40238809611.0%
 
1.4009175311.0%
 
1.3181716211.0%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.223547884762979e-09
Minimum-1.5755356550216677
Maximum1.7022699117660522
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:52.478246image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.575535655
5-th percentile-1.457267123
Q1-0.781935066
median-0.145612862
Q30.8930762112
95-th percentile1.540605086
Maximum1.702269912
Range3.277805567
Interquartile range (IQR)1.675011277

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)-236767767.3
Kurtosis-1.25594464
Mean-4.223547885e-09
Median Absolute Deviation (MAD)0.8691192269
Skewness0.1276609449
Sum-4.223547885e-07
Variance1.000000006
2020-08-25T00:54:52.583386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.557614684111.0%
 
1.28288185611.0%
 
-0.0904008373611.0%
 
-0.760805547211.0%
 
0.956122100411.0%
 
0.942925751211.0%
 
0.883615553411.0%
 
-0.769605219411.0%
 
-0.29935398711.0%
 
-0.200824886611.0%
 
-1.23306977711.0%
 
-1.01692485811.0%
 
1.41220879611.0%
 
0.918208420311.0%
 
-1.13740551511.0%
 
-0.292774766711.0%
 
-1.51583015911.0%
 
0.549361586611.0%
 
-0.74815255411.0%
 
1.43770992811.0%
 
-0.635606229311.0%
 
1.6066657311.0%
 
-1.00070965311.0%
 
0.157986968811.0%
 
1.70226991211.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.57553565511.0%
 
-1.52012884611.0%
 
-1.51583015911.0%
 
-1.51375973211.0%
 
-1.51158726211.0%
 
-1.45440816911.0%
 
-1.43005132711.0%
 
-1.4101442111.0%
 
-1.40879273411.0%
 
-1.37676560911.0%
 
ValueCountFrequency (%) 
1.70226991211.0%
 
1.6626211411.0%
 
1.65431940611.0%
 
1.62460815911.0%
 
1.6066657311.0%
 
1.5371282111.0%
 
1.52097153711.0%
 
1.51009321211.0%
 
1.43946993411.0%
 
1.43886125111.0%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.601874828338623e-09
Minimum-1.6905232667922974
Maximum1.999194622039795
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:52.695050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.690523267
5-th percentile-1.439162052
Q1-0.8239350468
median-0.1632746831
Q30.79895702
95-th percentile1.670426279
Maximum1.999194622
Range3.689717889
Interquartile range (IQR)1.622892067

Descriptive statistics

Standard deviation1.000000003
Coefficient of variation (CV)624268504
Kurtosis-1.071455402
Mean1.601874828e-09
Median Absolute Deviation (MAD)0.8113777339
Skewness0.151705021
Sum1.601874828e-07
Variance1.000000005
2020-08-25T00:54:52.812494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.836180210111.0%
 
0.393841117611.0%
 
0.579899728311.0%
 
-1.10218560711.0%
 
0.727121591611.0%
 
-0.884837865811.0%
 
-0.378455936911.0%
 
-0.467337042111.0%
 
0.972003281111.0%
 
0.657794952411.0%
 
-0.292887866511.0%
 
-0.716636061711.0%
 
1.99919462211.0%
 
1.24567794811.0%
 
-0.582605838811.0%
 
-0.176657959811.0%
 
0.420088797811.0%
 
0.852371096611.0%
 
0.267381221111.0%
 
-0.470907807411.0%
 
1.49726915411.0%
 
-1.02900934211.0%
 
0.719585478311.0%
 
0.916887402511.0%
 
-0.650959849411.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-1.69052326711.0%
 
-1.67847192311.0%
 
-1.59936094311.0%
 
-1.59784638911.0%
 
-1.44635856211.0%
 
-1.43878328811.0%
 
-1.42814552811.0%
 
-1.42564165611.0%
 
-1.42247092711.0%
 
-1.39091455911.0%
 
ValueCountFrequency (%) 
1.99919462211.0%
 
1.90194535311.0%
 
1.78739595411.0%
 
1.71054315611.0%
 
1.71013414911.0%
 
1.66833639111.0%
 
1.62496912511.0%
 
1.49726915411.0%
 
1.46195495111.0%
 
1.39869546911.0%
 

target
Real number (ℝ)

UNIQUE

Distinct count100
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5331974029541017e-09
Minimum-2.1842701435089107
Maximum2.3220982551574707
Zeros0
Zeros (%)0.0%
Memory size928.0 B
2020-08-25T00:54:52.935482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.184270144
5-th percentile-1.488216043
Q1-0.74455598
median-0.004380036145
Q30.7238316685
95-th percentile1.747267282
Maximum2.322098255
Range4.506368399
Interquartile range (IQR)1.468387648

Descriptive statistics

Standard deviation1.000000005
Coefficient of variation (CV)394758025.4
Kurtosis-0.6052532652
Mean2.533197403e-09
Median Absolute Deviation (MAD)0.7422778718
Skewness0.133666846
Sum2.533197403e-07
Variance1.000000009
2020-08-25T00:54:53.039787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.83690714811.0%
 
-1.54366493211.0%
 
-0.983071744411.0%
 
-0.559409439611.0%
 
0.388222426211.0%
 
1.16814541811.0%
 
-0.319311529411.0%
 
0.152795448911.0%
 
-0.832129597711.0%
 
1.99833202411.0%
 
-0.689555466211.0%
 
0.92748004211.0%
 
1.27120685611.0%
 
0.525874972311.0%
 
-0.73350435511.0%
 
2.08148455611.0%
 
0.516594171511.0%
 
0.542455017611.0%
 
1.74437630211.0%
 
0.847046971311.0%
 
0.749149084111.0%
 
-1.88843607911.0%
 
-1.19312906311.0%
 
1.05934894111.0%
 
-1.12467396311.0%
 
Other values (75)7575.0%
 
ValueCountFrequency (%) 
-2.18427014411.0%
 
-1.88843607911.0%
 
-1.83690714811.0%
 
-1.73773825211.0%
 
-1.54366493211.0%
 
-1.4852976811.0%
 
-1.4006868611.0%
 
-1.34274125111.0%
 
-1.34273564811.0%
 
-1.27680945411.0%
 
ValueCountFrequency (%) 
2.32209825511.0%
 
2.08148455611.0%
 
1.99833202411.0%
 
1.94889235511.0%
 
1.80219590711.0%
 
1.74437630211.0%
 
1.48927724411.0%
 
1.41153144811.0%
 
1.40782928511.0%
 
1.2937542211.0%
 

Interactions

2020-08-25T00:53:54.739001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:54.864983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:54.990547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:55.112882image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:55.240692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:55.368598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:55.494652image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:55.617045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:55.741055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:55.869751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:55.991696image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:56.113316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:56.238637image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:56.363271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:56.487375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:56.607932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:56.732739image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:56.853581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:57.019917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:57.190174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:57.303720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:57.428827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:57.731726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:57.854223image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:57.981446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:58.105500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:58.226320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:58.348007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:58.470088image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:58.599058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:58.731616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:58.854136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:58.982431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:59.105082image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:59.227594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:59.349496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:59.477402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:59.608546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:59.736676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:59.874180image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:53:59.993514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:00.118178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:00.241107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:00.366293image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:00.496098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:00.617596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:00.740163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:00.861575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:00.987021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:01.116751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:01.240332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:01.553401image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:01.679606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:01.800926image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:01.922799image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:02.054105image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:02.183632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:02.307452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:02.432928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:02.561767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:02.675016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:02.802889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:02.932478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:03.060538image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:03.193069image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:03.322194image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:03.449639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:03.577851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:03.707995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:03.846952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:03.981338image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:04.109404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:04.240389image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:04.367596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:04.495463image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:04.623159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:54:32.044987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:32.351749image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:32.484216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:32.613628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:32.736894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:32.859972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:32.985309image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:33.123109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:33.252496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:33.374311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:33.500702image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:33.623936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:33.746833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:33.868986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:33.995901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:34.119632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:34.243202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:34.368524image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:34.482705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:34.612550image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:34.750225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:34.884247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:35.021721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:35.150889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:35.278385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:35.405650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:35.535471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:35.672429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:35.799545image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:35.928104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:36.239459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:36.367142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:36.493060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:36.619798image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:36.750277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:36.875763image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:37.004915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:37.136728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:37.255886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:37.377007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:37.508887image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:37.633832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:37.759719image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:37.884861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:38.020693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:38.143510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:38.267254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:38.397589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:38.522202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:38.645013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:38.782016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:38.905730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:39.028520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:39.153442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:39.279581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:39.400160image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:39.522783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:39.648211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:39.766738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:40.059529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:40.180459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:40.304378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:40.431239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:40.554858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:40.679597image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:40.803294image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:40.925842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:41.058033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:41.183066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:41.310051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:41.436292image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:41.557038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:41.677437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:41.801570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:41.925610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:42.046489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:42.166897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:42.294696image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:42.405019image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:42.529682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:42.654929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:42.782554image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:42.913919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:43.040594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:43.167468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:43.296240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:43.422651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:43.557222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:43.862042image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:43.994375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:44.123305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:44.249321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:44.376838image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:44.505995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:44.637703image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:44.763648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:44.889302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:45.024653image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:45.144106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:45.257679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:45.371649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:45.483769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:45.601007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:45.715246image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:45.828803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:45.942436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:46.056562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:46.179783image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:46.293211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:46.405751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:46.522154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:46.633219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:46.747023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:46.865999image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:46.980099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:47.089826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:47.204827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:47.320874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:54:53.184628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:54:53.491411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:54:53.810010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:54:54.300395image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:54:47.766435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:54:48.251404image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
00.894814-0.9796051.267528-1.659342-0.9231161.354665-1.614599-0.0387511.394869-1.1998301.4204851.3846901.5429020.2097601.0544550.095472-0.3545860.942926-0.8016331.802196
1-0.9887231.3290340.327560-0.046837-0.237401-0.4813880.335815-0.3022920.8308200.182960-1.3012920.570095-0.066585-1.427924-0.0211560.4525620.2407941.1400290.556887-0.491178
2-0.0088580.964863-0.667527-0.6351580.9839231.773254-1.000968-0.615082-0.6304611.077522-1.1457610.2976420.2876031.0586421.5616891.1631370.089934-1.211678-0.0687480.715393
3-0.169299-1.3360170.0919170.1158461.3222290.5826030.248543-0.090901-0.5621380.4066290.2794890.6711860.8618810.2999920.2239410.717339-1.357118-1.2452371.6683360.335032
4-0.3507290.375018-0.5067620.4692961.5110431.693679-0.773139-0.0599250.219279-0.447167-1.155836-1.150959-1.271382-1.7409481.6643941.219368-0.478462-0.7261880.013367-0.243638
5-1.682206-0.8756341.0183630.149291-0.5297701.3737081.681746-0.632675-0.913230-0.4419911.6747980.631240-1.0866790.966413-1.4072970.315505-0.846588-0.471497-1.4463591.411531
6-0.3277300.4942551.1895920.1943540.9898860.964984-1.154025-1.4341530.5989581.456324-0.9506430.567176-0.086923-1.012059-1.4845080.468648-1.5423451.1211810.719585-1.836907
71.2517140.3854910.2703470.6650841.440745-0.5347701.4783230.9584931.2890831.3642531.606570-1.450282-0.327824-0.9448321.303843-0.1333760.4858540.273953-1.3909151.489277
80.9791571.240017-0.0463741.743000-0.602901-0.3990091.459194-1.764462-1.6335220.417246-0.7799540.9676960.7148410.2094800.0548520.356077-0.910544-1.2330700.738540-1.009423
90.909424-0.999794-1.5278390.6028800.5635231.768025-1.665587-1.205419-0.511845-0.160438-0.7190061.433176-1.396441-1.0300580.037438-1.1774001.098280-1.4544080.548855-2.184270

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
90-1.273579-1.658948-0.5049590.9351480.163445-0.1710620.513427-1.3726520.8411491.395885-0.960061-1.190465-0.9550080.713527-1.2673000.7918011.5949420.9561220.489277-0.733832
91-0.8385510.9166410.0537261.2422861.569463-0.7442781.5814641.2268520.7171740.0699521.3152870.227997-0.8016190.717001-1.2819690.755923-0.408778-0.2009551.2456781.259189
92-0.2722090.6942141.055546-0.420359-0.2682351.4755671.1201160.131663-0.7556870.6473191.3292391.0015500.5079471.622665-0.5491140.488357-0.1167980.7155311.6249692.081485
931.304429-0.214706-1.0021570.799628-0.561045-1.464215-0.565129-1.6770551.2929060.0921010.036958-0.602693-1.345788-0.501525-0.2218610.409125-0.3279021.2679810.370923-1.543665
941.124154-0.8439741.3541431.572730-0.367821-0.7015840.294331-0.2377540.554675-0.475478-0.797622-0.719654-0.568007-1.3895201.4290010.1457771.6590941.7022701.7105430.222396
951.508026-0.145015-1.265640-0.0074600.5455871.6410420.2099040.6077161.1981701.2343091.6499070.942305-1.085972-0.533705-0.962050-1.664070-1.756011-0.0134431.307520-0.774191
96-1.098154-1.3610110.112816-1.566225-1.328346-1.040351-0.550914-1.2878730.741956-1.5873941.158382-0.771128-0.3453140.641852-1.3573740.5468750.5025740.4902580.439091-0.503422
97-1.160538-0.7434841.2658490.5056061.5826321.3913260.473805-0.6339641.024228-0.5586980.7350190.2629840.2314890.946486-1.439765-1.908101-1.783824-1.3321210.4628340.525875
98-0.259239-0.7384380.9715350.5967551.2674260.148337-1.4608660.5753840.7086980.6095311.3896400.746048-0.868186-0.023152-1.5459830.497974-1.092552-1.4087930.2673810.670097
990.3032321.2149540.8164781.213342-1.5160470.282722-1.261671-1.0362051.0149410.786554-0.802281-1.665403-1.4697810.787337-0.8205331.319112-1.1616220.9182080.651549-0.109320